Ajith Babu Email & Phone Number

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

1. Played a pivotal role in the enhancement of Speech Analytics Product, spearheading the transformation of the entire analytics pipeline. 2. By integrating advanced multilingual Natural Language Processing (NLP) models, I significantly enhanced its performance, enabling more nuanced understanding and insights from diverse customer interactions.3. Successfully incorporated state-of-the-art Large Language Models (LLMs) into the Speech Analytics framework. This integration was tailored to meet the varied needs of our clients, ensuring that our solutions are not only cutting-edge but also highly adaptable to different use cases and industries.

Bangalore Urban, Karnataka, India

1. Developed a custom-trained Named Entity Recognition (NER) model to effectively extract technical keywords from text.2. Engineered and fine-tuned word2vec and sense2vec models to identify semantically similar keywords, enhancing keyword relevance and context understanding.3. Executed information extraction from graphical data using a custom-trained YOLOv4 object detection model, complemented by an Inception-ResNet model for image classification and Amazon OCR for text extraction.4. Designed and implemented a custom-trained RASA model to facilitate AI-driven conversational chatbots, improving user interaction and engagement.

Karnataka, India

I had the privilege of leading a talented team of four in our recent research paper publication, where we explored cutting-edge techniques in 3D object reconstruction. Our work focused on the effective implementation of the Pixel2Mesh model, complemented by a custom-trained Stacking Classifier model. This project not only deepened our understanding of computer vision but also showcased the innovative potential of these technologies in transforming how we perceive and reconstruct 3D objects.Paper link: https://iopscience.iop.org/article/10.1088/1742-6596/2115/1/012033

Bengaluru Area, India

Enhancing Logistics Efficiency through Machine LearningI had the opportunity to develop a machine learning-based predictive model aimed at estimating the total time required for logistics deliveries. This project involved analyzing historical delivery data and identifying key factors that influence delivery times. By leveraging advanced algorithms, we were able to create a model that not only improves accuracy in time estimation but also enhances overall operational efficiency.